Turing Test and the Practice of Law: The Role of Autonomous Levels of AI Legal Reasoning
arXiv:2008.07743
Abstract
Artificial Intelligence (AI) is increasingly being applied to law and a myriad of legal tasks amid attempts to bolster AI Legal Reasoning (AILR) autonomous capabilities. A major question that has generally been unaddressed involves how we will know when AILR has achieved autonomous capacities. The field of AI has grappled with similar quandaries over how to assess the attainment of Artificial General Intelligence (AGI), a persistently discussed issue among scholars since the inception of AI, with the Turing Test communally being considered as the bellwether for ascertaining such matters. This paper proposes a variant of the Turing Test that is customized for specific use in the AILR realm, including depicting how this famous gold standard of AI fulfillment can be robustly applied across the autonomous levels of AI Legal Reasoning.
24 pages, 6 figures
Cited by in corpus (8)
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- An Impact Model of AI on the Principles of Justice: Encompassing the Autonomous Levels of AI Legal Reasoning
- Antitrust and Artificial Intelligence (AAI): Antitrust Vigilance Lifecycle and AI Legal Reasoning Autonomy
- AI and Legal Argumentation: Aligning the Autonomous Levels of AI Legal Reasoning
- Multidimensionality of Legal Singularity: Parametric Analysis and the Autonomous Levels of AI Legal Reasoning
- Robustness and Overcoming Brittleness of AI-Enabled Legal Micro-Directives: The Role of Autonomous Levels of AI Legal Reasoning